Top Machine Learning Jobs in Paris

The Senior Generative AI Engineer will develop AI tools for testing, bug fixing, and optimizing performance, collaborating closely with users and teams to deliver effective solutions.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

As a Senior LLM Engineer, you will develop AI-assisted tools, collaborate with teams, prototype products, and improve software engineering through LLMs.

Design and develop AI-assisted tools for software development, working closely with designers, PMs, and data scientists, and iterating based on user feedback.

The Trading Risk Analyst supports sales and trading, manages trade processes, analyzes P&L, and collaborates with teams on technology and operational workflows.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

The Junior Sales Engineer coordinates with Account Representatives, designs technical solutions, delivers training, supports clients, and creates prototypes while ensuring successful implementations.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

The Director of Engineering for Mission Intelligence will manage engineering teams, oversee recruitment, develop standardized processes, and contribute to organizational strategy while remaining technically engaged with projects.

The Senior Site Reliability Engineer will scale AI infrastructure, ensuring system reliability, performance, and cost-efficiency for machine learning workloads while collaborating with various teams.

Support identification and implementation of AI-driven business use cases, collaborate with cross-functional teams, analyze impact using data, and provide training on AI tools to improve processes across sales and marketing.

Lead technical strategies and implementations for customers in cybersecurity solutions, collaborating with account teams to enhance product adoption and engagement while influencing product roadmaps.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

As a Senior Fullstack Engineer, you will develop a legal intelligence platform, focusing on user experience, reusable components, and ML integration while collaborating closely with product teams.

Lead global adoption and optimization of the Matrix MMM tool, advise markets on A&P decisions, drive media planning/buying improvements, prioritize product features, enable local performance experts, and consolidate global media planning best practices to improve ROI.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As a Partners Solutions Architect at Anthropic, you'll build technical relationships with integrators and cloud partners, facilitate AI solutions, and represent Anthropic at industry events.

The AI Deployment Engineer collaborates with startups to optimize AI systems, develop evaluation methodologies, and provide technical insights to improve product quality and customer experience.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

The Product Operations Manager will enhance collaboration between product, engineering, and marketing teams, manage product launches, and analyze customer feedback to improve product strategies.

Lead end-to-end development and architecture of industrial-grade AI/ML software products, collaborate cross-functionally, integrate ML capabilities, provide technical leadership, mentor staff, and support product strategy, governance, and external representation.

Develop and manage systematic trading strategies, optimize quantitative portfolios, and collaborate with quant traders and the investment committee.